nuster1128 / Awesome-Causal-PapersLinks
We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
☆84Updated 2 years ago
Alternatives and similar repositories for Awesome-Causal-Papers
Users that are interested in Awesome-Causal-Papers are comparing it to the libraries listed below
Sorting:
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆30Updated 2 weeks ago
- ☆23Updated 3 years ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆17Updated 2 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- ☆9Updated last year
- A list of Graph Causal Learning materials.☆196Updated 5 months ago
- ☆29Updated 2 months ago
- Papers collections that is related to knowledge graph, causal inference, and large language model☆56Updated 10 months ago
- An awesome collection of causality-inspired graph neural networks.☆79Updated 6 months ago
- ☆37Updated 8 months ago
- AAAI 2024 Accept☆17Updated last year
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆90Updated last year
- ☆20Updated 3 years ago
- ☆45Updated 6 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIP…☆22Updated last year
- An index of causal inference based recommendation algorithms (TOIS).☆58Updated last year
- ☆45Updated last year
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16Updated 3 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆18Updated last year
- Discovering Invariant Rationales for Graph Neural Networks (ICLR 2022)☆127Updated last year
- ☆22Updated last week
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆149Updated 10 months ago
- ☆34Updated 2 years ago
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆18Updated 3 years ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆24Updated 2 years ago
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆25Updated 8 months ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆114Updated last year
- Implement PC algorithm in Python | PC 算法的 Python 实现☆118Updated last year
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆17Updated 3 years ago